随机环境载荷下的无人艇轨迹跟踪控制OACHSSCD
Trajectory tracking control of unmanned surface vehicles under stochastic environmental loads
研究了一类受未知随机环境干扰的无人艇轨迹跟踪控制问题.首先,基于随机微分方程理论,构建了包含随机干扰项的系统动力学模型,以精确刻画现实环境扰动对无人艇运动轨迹的影响.其次,基于back-stepping控制方法,设计了一种轨迹跟踪鲁棒控制器.理论分析表明,在所提出的控制策略下,所设计的控制器能够确保无人艇实际轨迹以期望精度渐近跟踪任意给定的参考轨迹,证明了闭环系统中所有信号均满足全局一致最终有界性.最后,通过数值仿真验证了轨迹跟踪控制器的有效性和鲁棒性.
The trajectory tracking control problem of unmanned surface vehicles(USVs)with unknown stochastic environmental disturbances was studied.Firstly,based on the theory of stochastic differential e-quations,a system dynamic model incorporating stochastic disturbance terms is established to accurately characterize the influence of environmental disturbances on the USVs motion trajectory.Secondly,a ro-bust trajectory tracking controller is designed based on the backstepping control method.The designed controller can ensure that the actual trajectory of the USVs asymptotically tracks any given reference traj-ectory with the desired precision.Then,it is rigorously proven that all signals in the closed-loop system satisfy global uniform ultimate boundedness.Finally,numerical simulations are conducted to verify the ef-fectiveness and robustness of the trajectory tracking controller.
丛如悦;刘迎;李武全
鲁东大学 数学与统计科学学院,山东 烟台 264025鲁东大学 数学与统计科学学院,山东 烟台 264025鲁东大学 数学与统计科学学院,山东 烟台 264025
生物科学
随机控制轨迹跟踪控制反步法无人艇
stochastic controltrajectory tracking controlbacksteppingunmanned surface vehicles
《聊城大学学报(自然科学版)》 2026 (3)
328-335,8
国家自然科学基金项目(62373179)山东省泰山学者项目(tstp20221133)山东省烟台市科技创新发展计划基础研究项目(2023JCYJ051)烟台市省级以上领军人才专项支持资金资助
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